Article

A Confidence-Guided Graph Reinforcement Framework for Robust Multi-Omics Integration and Cancer Subtyping

2026-08-11

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose:</bold> Integrating heterogeneous multi-omics data for cancer subtyping remains a challenging problem due to differences in data dimens ionality, measurement scales, and noise characteristics across molecular platforms. Conventional graph-based integration methods rely on static similarity measures in general and have inadequate capabilities to distinguish biologically...

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Literature Corpus work: ba1bd942-27a7-510f-9117-53bb3c2126a2
DOI: 10.21203/rs.3.rs-10631936/v1

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